J. KANG
- Artificial Intelligence top 10%
- Information Systems
- Economics and Econometrics
- Signal Processing
- Management Science and Operations Research
- Co-authors
- Yejin ChoiSong FengПолина КузнецоваMichael LucaRitwik BanerjeeKyong Joo OhHyun Jun LeeSeunghwan Jeong
- Topics
- Sentiment Analysis and Opinion Mining (3 papers)Topic Modeling (3 papers)Advanced Text Analysis Techniques (2 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
J. KANG
12 papers receiving 224 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 117
- Information Systems 43
- Economics and Econometrics 43
- Signal Processing 27
- Management Science and Operations Research 27
Countries citing papers authored by J. KANG
This map shows the geographic impact of J. KANG's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. KANG with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. KANG more than expected).
Fields of papers citing papers by J. KANG
This network shows the impact of papers produced by J. KANG. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. KANG. The network helps show where J. KANG may publish in the future.
Co-authorship network of co-authors of J. KANG
This figure shows the co-authorship network connecting the top 25 collaborators of J. KANG. A scholar is included among the top collaborators of J. KANG based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. KANG. J. KANG is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 48 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 19 | |
| 11 | 36 | |
| 12 | 45 | |
| 13 | Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning | 67 |
| 14 | 2 | |
| 15 | 2 |
About J. KANG
J. KANG is a scholar working on Signal Processing, Artificial Intelligence and Transportation, having authored 15 papers that have together received 244 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (117 citations), Signal Processing (27 citations) and Human-Computer Interaction (12 citations). J. KANG has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Yejin Choi, Song Feng, Полина Кузнецова, Michael Luca, Ritwik Banerjee, Kyong Joo Oh, Hyun Jun Lee, Seunghwan Jeong, Hee Soo Lee and Leman Akoglu. Their work appears in journals such as IEEE Access, Sustainability and Applied Acoustics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.